La maladie de Parkinson en France (serveur d'exploration)

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Deep brain stimulation: BCI at large, where are we going to?

Identifieur interne : 000A20 ( PubMed/Corpus ); précédent : 000A19; suivant : 000A21

Deep brain stimulation: BCI at large, where are we going to?

Auteurs : Alim Louis Benabid ; Thomas Costecalde ; Napoleon Torres ; Cecile Moro ; Tetiana Aksenova ; Andrey Eliseyev ; Guillaume Charvet ; Fabien Sauter ; David Ratel ; Corinne Mestais ; Pierre Pollak ; Stephan Chabardes

Source :

RBID : pubmed:21867795

English descriptors

Abstract

Brain-computer interfaces (BCIs) include stimulators, infusion devices, and neuroprostheses. They all belong to functional neurosurgery. Deep brain stimulators (DBS) are widely used for therapy and are in need of innovative evolutions. Robotized exoskeletons require BCIs able to drive up to 26 degrees of freedom (DoF). We report the nanomicrotechnology development of prototypes for new 3D DBS and for motor neuroprostheses. For this complex project, all compounds have been designed and are being tested. Experiments were performed in rats and primates for proof of concepts and development of the electroencephalogram (EEG) recognition algorithm.

DOI: 10.1016/B978-0-444-53815-4.00016-9
PubMed: 21867795

Links to Exploration step

pubmed:21867795

Le document en format XML

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<nlm:affiliation>Clinatec Institute, Commissariat à l’Energie Atomique, Joseph Fourier University, Grenoble, France. alimlouis@aol.com</nlm:affiliation>
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<name sortKey="Costecalde, Thomas" sort="Costecalde, Thomas" uniqKey="Costecalde T" first="Thomas" last="Costecalde">Thomas Costecalde</name>
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<name sortKey="Torres, Napoleon" sort="Torres, Napoleon" uniqKey="Torres N" first="Napoleon" last="Torres">Napoleon Torres</name>
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<name sortKey="Moro, Cecile" sort="Moro, Cecile" uniqKey="Moro C" first="Cecile" last="Moro">Cecile Moro</name>
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<name sortKey="Aksenova, Tetiana" sort="Aksenova, Tetiana" uniqKey="Aksenova T" first="Tetiana" last="Aksenova">Tetiana Aksenova</name>
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<name sortKey="Eliseyev, Andrey" sort="Eliseyev, Andrey" uniqKey="Eliseyev A" first="Andrey" last="Eliseyev">Andrey Eliseyev</name>
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<name sortKey="Pollak, Pierre" sort="Pollak, Pierre" uniqKey="Pollak P" first="Pierre" last="Pollak">Pierre Pollak</name>
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<term>Deep Brain Stimulation (methods)</term>
<term>Electrodes, Implanted</term>
<term>Electroencephalography</term>
<term>Epilepsy (therapy)</term>
<term>Humans</term>
<term>Mental Disorders (therapy)</term>
<term>Parkinson Disease (therapy)</term>
<term>Software</term>
<term>User-Computer Interface</term>
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<term>Deep Brain Stimulation</term>
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<term>Deep Brain Stimulation</term>
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<term>Epilepsy</term>
<term>Mental Disorders</term>
<term>Parkinson Disease</term>
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<term>Algorithms</term>
<term>Animals</term>
<term>Electrodes, Implanted</term>
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<div type="abstract" xml:lang="en">Brain-computer interfaces (BCIs) include stimulators, infusion devices, and neuroprostheses. They all belong to functional neurosurgery. Deep brain stimulators (DBS) are widely used for therapy and are in need of innovative evolutions. Robotized exoskeletons require BCIs able to drive up to 26 degrees of freedom (DoF). We report the nanomicrotechnology development of prototypes for new 3D DBS and for motor neuroprostheses. For this complex project, all compounds have been designed and are being tested. Experiments were performed in rats and primates for proof of concepts and development of the electroencephalogram (EEG) recognition algorithm.</div>
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<Day>26</Day>
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<Volume>194</Volume>
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<ArticleTitle>Deep brain stimulation: BCI at large, where are we going to?</ArticleTitle>
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<AbstractText Label="UNLABELLED">Brain-computer interfaces (BCIs) include stimulators, infusion devices, and neuroprostheses. They all belong to functional neurosurgery. Deep brain stimulators (DBS) are widely used for therapy and are in need of innovative evolutions. Robotized exoskeletons require BCIs able to drive up to 26 degrees of freedom (DoF). We report the nanomicrotechnology development of prototypes for new 3D DBS and for motor neuroprostheses. For this complex project, all compounds have been designed and are being tested. Experiments were performed in rats and primates for proof of concepts and development of the electroencephalogram (EEG) recognition algorithm.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Various devices have been designed. (A) In human, a programmable multiplexer connecting five tetrapolar (20 contacts) electrodes to one DBS channel has been designed and implanted bilaterally into STN in two Parkinsonian patients. (B) A 50-mm diameter titanium implant, telepowered, including a radioset, emitting ECoG data recorded by a 64-electrode array using an application-specific integrated circuit, is being designed to be implanted in a 50-mm trephine opening. Data received by the radioreceiver are processed through an original wavelet-based Iterative N-way Partial Least Square algorithm (INPLS, CEA patent). Animals, implanted with ECoG recording electrodes, had to press a lever to obtain a reward. The brain signature associated to the lever press (LP) was detected online by ECoG processing using INPLS. This detection allowed triggering the food dispenser.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">(A) The 3D multiplexer allowed tailoring the electrical field to the STN. The multiplication of the contacts affected the battery life and suggested different implantation schemes. (B) The components of the human implantable cortical BCI are being tested for reliability and toxicology to meet criteria for chronicle implantation in 2012. (C) In rats, the algorithm INPLS could detect the cortical signature with an accuracy of about 80% of LPs on the electrodes with the best correlation coefficient (located over the cerebellar cortex), 1% of the algorithm decisions were false positives. We aim to pilot effectors with DoF up to 3 in monkeys.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">We have designed multielectrodes wireless implants to open the way for BCI ECoG-driven effectors. These technologies are also used to develop new generations of brain stimulators, either cortical or for deep targets. This chapter is aimed at illustrating that BCIs are actually the daily background of DBS, that the evolution of the method involves a growing multiplicity of targets and indications, that new technologies make possible and simpler than before to design innovative solutions to improve DBS methodology, and that the coming out of BCI-driven neuroprostheses for compensation of motor and sensory deficits is a natural evolution of functional neurosurgery.</AbstractText>
<CopyrightInformation>Copyright © 2011 Elsevier B.V. All rights reserved.</CopyrightInformation>
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